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This paper presents a fast fractal encoding approach based on correlation information feature. To reduce the computational complexity of fractal encoding, the definition of correlation information feature is introduced and used to convert range-domain block matching to nearest neighbor search in the feature space. Correlation information feature can reflect the blocks' structural characteristic well...
In order to further enhance the hyperspectral image compression, a new scheme based on JPEG2000 and nonlinear correlation measurement is proposed, in which nonlinear correlation coefficient (NCC) is used to guarantee the relationship between every source image and its compressed image is the same. Using the method, all the source images will be compressed in such a way that each compressed image just...
Image compression is one of the most important processing techniques in hyperspectral image applications. A nonlinear quantitative measure for objectively accessing the performances of image compression techniques is proposed based on the scheme that image compression methods with better performances will maintain more information when compressing images with the same compression ratio, and the information...
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